Eslem Romdhane

During my summer internship, I participated in the development of an AI-assisted medical collaboration web application. My main contributions included: - Design and implementation in React/TypeScript, MongoDB, and FastAPI to manage the user interface and backend. - Integration of a multimodal AI medical assistant for clinical case analysis and clinical decision support. -Wrote an internship report documenting the technical and functional aspects of the project.

During my internship, I focused on developing and optimizing deep learning models for automatic coronary artery segmentation from X-ray angiography images using the ARCADE dataset. My main contributions were: - Implemented and fine-tuned YOLOv8/YOLOv9, Faster R-CNN, and U-Net for segmentation and detection tasks. - Conducted training, optimization, and performance evaluation, including visualization and analysis of metrics to enhance model outcomes. - Authored a scientific report presenting the methodology, results, and future research directions.

During this internship, I participated in the development of a web platform for organizing tournaments and live streaming video games, using the MERN Stack (MongoDB, Express.js, React.js, Node.js).My main contributions included: - Back-end design and implementation (routes, middleware, secure REST APIs, data management with MongoDB). - Development of a responsive front-end interface with React (Hooks, Router, state management). - Integration of YouTube and Twitch APIs for real-time streaming. - Testing, feature validation, and project management via Git/GitHub.